Waifu2x-Extension-GUI
multidiffusion-upscaler-for-automatic1111
Waifu2x-Extension-GUI | multidiffusion-upscaler-for-automatic1111 | |
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92 | 83 | |
12,073 | 4,459 | |
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8.4 | 7.8 | |
6 days ago | about 1 month ago | |
C++ | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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Waifu2x-Extension-GUI
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Looking for ways to run AI GUI software via cloud gpu compute
The software in question is on Github called Waifu2x-Extension-GUI https://github.com/AaronFeng753/Waifu2x-Extension-GUI
- Is there any way to upscale local files permanently using Nvidia's RT VSR?
- Exporting Videos with RTX Video Super Resolution
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Can Stable Diffusion fix blurry photos like waifu 2x?
Waifu2x GUI
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The final shot upscaled to 4K
I used a program called Waifu2x-Extension-GUI. It’s fantastic for upscaling animation shows (and yes it supports video upscales too)! There are web-app versions out there with the same name, but the results I get from those are nowhere near as good. If anyone’s unable to download or figure it out, I’d be happy to upscale any images you want!
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Any good upscale softwares?
I heard topaz may be the best but you can try bsrt, video2x and waifu2x ext gui.
- For anyone who isn't already aware of it, Tiled VAE is a way to create giant (4k+) images in automatic1111 without any kind of visible seams or lots of complicated steps. Info in comments.
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Stable Diffusion makes trippy music videos
I do my upscaling with Waifu2x, specifically with this really well made GUI https://github.com/AaronFeng753/Waifu2x-Extension-GUI
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Tutorial para leer manga en español con calidad 4K (no es joda)
se descargan este archivo (Waifu2x-Extension-GUI).
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Is there a way to use the RTX 4090 to AI Upscale anime / movies / videos from their resolutions to 4K or greater?
4090 is very fast in this regard. It takes about 6 hours or so for a film that is 1.5 hours. The software is called Waifu2x Extension GUI by Aaron Feng. It's free to use, but you'll get a pop-up asking to donate. It gets constant updates, which is always a major plus. Here's the GitHub: https://github.com/AaronFeng753/Waifu2x-Extension-GUI I used the RealCugan AI Model since I found it yields the best results in terms of speed and quality. You can use RealESRGAN for Live works, but it will take significantly longer. Sidenote: You can use it on blurry pictures as well (Since videos are simply a series of frames/still images)
multidiffusion-upscaler-for-automatic1111
- Stable Diffusion can't stop generating extra torsos, even with negative prompt. Any suggestions?
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Reduce Or Remove The Use Of RAM In Image Generation
Use tiled VAE, it will save VRAM: pkuliyi2015/multidiffusion-upscaler-for-automatic1111: Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0 (github.com)
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How I do I fix these boxes/lines appearing while using Ultimate SD upscale + CN tiles? All the details are in my comment below. Please Helps. MANY THANKS !!!
My favorite solution is to not use ultimate Sd upscale and instead use multidiffusion-upscaler.
- Is there any way to purge the VRAM of your card after getting OOT'ed other than restarting the Web UI?
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Not able to generate more than 400*400 image
sure, i personally use 'tiled diffusion' https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111, works like charm also use adetailer for faces if its needed.
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GTX 1070 slow render speeds
What worked for my 1080 was using TiledVAE and turning down the quality of my previews - I don't pay much attention to it/s but it's definitely faster than using --medvram, and now I can handle batches and large resolutions without things exploding on me.
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Initial release of A8R8 (Alternate Reality), an opinionated interface for Stable Diffusion image generation, works with A1111. Docker installation included. Open source and runs locally!
I would highly recommend adding https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111 to your A1111 installation, TiledVAE is enabled automatically under the hood in A8R8; this will allow you to get even larger generations before getting an out of memory error. You'll get a Tiled Diffusion checkbox with some reasonable hardcoded defaults as well.
- I love the Tile ControlNet, but it's really easy to overdo. Look at this monstrosity of tiny detail I made by accident.
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Can you generate 2048x2048 images with an 8GB GPU?
Use Tiled VAE https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111
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SDXL 0.9 vs SD 2.1 vs SD 1.5 (All base models) - Batman taking a selfie in a jungle, 4k
That's weird. 10GB should allow you to hires to 2048x2048 at least. Use Tiled VAE extension https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111 that will allow you to go even beyond that.
What are some alternatives?
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
ultimate-upscale-for-automatic1111
cupscale - Image Upscaling GUI based on ESRGAN
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
ComfyUI_TiledKSampler - Tiled samplers for ComfyUI
realsr-ncnn-vulkan - RealSR super resolution implemented with ncnn library
mixture-of-diffusers - Mixture of Diffusers for scene composition and high resolution image generation
mpc-hc - Media Player Classic
stable-diffusion-webui-two-shot - Latent Couple extension (two shot diffusion port)
FidelityFX-FSR - FidelityFX Super Resolution
stable-diffusion-webui-vae-tile-infer - Yet another vae tiling inferer, extension script for AUTOMATIC1111/stable-diffusion-webui.